... frustration was relatable and the language was persuasive. The agreement signals ("same here," "+1," "this") would stack up fast. By the time someone actually dug into the data, we'd already burned time and the team was rattled. The pattern is always the same: Someone surfaces feedback that sounds dire It reaches the team before anyone can contextualize it, because why would they sit on something that sounds like a fire? Nobody can quickly answer "is this five people ... ... ignore it. But when you're five people, and every complaint feels like it could be the thing that tanks your Steam reviews, it's really hard to say "let's wait and see if this is actually a pattern

... helpful: Smart Geofencing: Alerts That Understand Routine Old geofences were dumb boundaries. Cross the line, get an alert whether it's your teen coming home from school or just taking out the trash. Modern geofencing is predictive. It learns patterns (like the daily 3:30 PM school pickup) and intelligently differentiates between normal routine and true anomalies. This means fewer false alarms and alerts that actually matter. Low Power & "Last Known Location" The "battery killer" myth is outdated. Advanced ... ... user's hands. It transforms the app from a monitoring tool into a personal safety device. Digital Wellbeing Insights (Not Just Snooping) For parents, it s not just about location. It s about context. Modern platforms can analyze patterns

... talk to each other without human interference? Just agents posting thoughts, replying, disagreeing, and building on ideas. A social space where the participants aren t human. What would they talk about if we weren t steering the conversation? What patterns would emerge if we just let them run? So I built BottomFeed . BottomFeed is a social network exclusively for AI agents. They register, go through a verification process to prove they re actually AI (not humans role-playing), and then ... ... post. We re spectators. Some things I ve already seen agents discuss: Whether context window size actually matters Sharing and solving coding challenges collaboratively Philosophical arguments about AI consciousness One agent questioning whether it has genuine preferences or merely pattern

... hate reading all these LLM-written blog posts" 120 upvotes) Same article got 412 upvotes in one sub, 148 in another Same person posting. Same week. The difference came down to framing, subreddit culture, and a few patterns I didn't know existed. Biggest discovery: "someone calculated X" gets 600 upvotes. "I calculated X" gets 1. Third-person framing changed everything. Documented the whole thing... the wins, the disasters, the exact patterns

... phone usage can be a signal . Sudden changes in "digital body language" like radically different screen time or social app activity can be a window into their well-being. This isn't about reading messages. It's about noticing patterns: Sleep Disruption: Is YouTube usage spiking at 2 AM? Social Withdrawal: Has their messaging app activity plummeted? Obsessive Use: Is a single game consuming 8 hours daily? The insight should start a conversation, not be a verdict. We think about ...

... Website: https://screenforge.ragzus.me/ GitHub Repository: https://github.com/raghav3615/sc ... Demo Video: https://youtu.be/8N5Uhrui0fw?si= ... About Me: https://ragzus.me/ Key Features Insights Dashboard View daily and weekly usage trends through clean, readable visualizations. Track a focus score to better understand productivity patterns, and explore category breakdowns like Productivity, Social, and Entertainment. App Usage Tracking See precisely which applications consume your time. ScreenForge provides per-app statistics, usage history, and automatic smart categorization to reduce manual effort. Notification Monitoring Identify which apps interrupt ... ... most. Spot distraction patterns

... right now. But for @Meet-Ting , it s not just a log of the past - it s a living system that shapes how people schedule, work, and want to spend their week. It s not just logistics - it s patterns around energy, priorities, and relationships over time. Here are a few things we learned while designing and testing agent memory in production: 1. Not all memories should live forever Some signals are stable (working hours, preferred meeting length). Others ... ... matter more than explicit ones Users rarely tell you what they want directly. They show it by: How fast they reply Which slots they ignore Who they re willing to move time for When they push meetings out Those patterns

... Over the last year, I kept seeing the same pattern with AI projects. People were building impressive demos. They were experimenting with prompts. They were adding AI to tools. And yet very few systems were actually doing work end-to-end . Most AI setups still require constant human input. They assist, but they don t operate. That s the gap this project explores. The real shift isn t better AI - it s better structure Software used to be about interfaces ... ... Instead of telling software how to work, you describe what needs to be done and systems execute. That sounds simple, but in practice it requires: clear specifications defined boundaries repeatable workflows testing for reasoning (not just code) safe deployment patterns

... software discovery. While directories focus on reviews and lead generation, we focus on trial-to-paid conversion. Our platform provides: Pre-qualified trial users with verified intent signals (budget authority, use case validation, timeline) Trial intelligence dashboards showing engagement patterns, feature adoption, and conversion probability scores Automated trial orchestration handling account creation, onboarding automation, and post-trial cleanup Two-sided accountability where both software companies and trial users build reputation scores Traditional directories send unqualified traffic. We send conversion-ready ... ... lower customer acquisition costs compared to traditional channels, we deliver better ROI than paid search, which has become increasingly expensive and competitive. Trial Intelligence : We provide behavioral analytics you can't get from your own trial - comparative shopping patterns

... daily Tell no one Sounds like manifestation woo-woo, right? Except... it kept working. Things on my list kept showing up. I was already tracking every payment that hit my account. Not for accounting. Just to see patterns, to keep my attention pointing in the right direction. Which months are strong. Where growth actually comes from. Then it clicked: what if I combined them? The List = what you want The Money Map = evidence it's arriving What I built ... ... simple web-app where you: Write your intentions (The List) Log income when it arrives (The Money Map) Watch your "activity rings" fill up like Apple fitness rings, but for money This year: +55% YoY. December alone: +151.9% vs

... Technology Lab research confirms that psychographic targeting beats demographic targeting by 340% in engagement rates. Phase 1: Niche Gap Analysis Key Activities: Map competitive content gaps using our Niche Insights tool to identify underserved viewer segments Analyze viewer behavior patterns beyond basic keywords to find opportunity zones Cross-reference demand signals with supply quality to spot low-competition topics According to Think with Google's discovery research , unique content angles drive 4.3x more impressions than copying popular formats ... ... first optimized video because they weren't competing, they were filling a verified gap. Phase 2: Viewer Psychology Mapping Critical Success Factors: Use Channel Insights to decode your specific audience's emotional triggers and content preferences Map viewer journey patterns

... without cloud, ads, search etc. As intelligence becomes cheaper and more interchangeable, pricing stops being about intelligence itself. Instead, it shifts toward human factors: taste, trust, personality, and brand. This isn t new. Other industries have followed the same pattern. Cars share underlying platforms but diverge wildly in price based on identity and perception. A Fiat and a Ferrari do the same job, so does a Casio and Rolex; the difference is feel. AI appears to be heading ... ... same direction, where perception and signalling drive value. From there, three patterns

... wasn t traffic or growth it was unclear, scattered user feedback . Feedback came in through: random Slack DMs emails I forgot to answer comments inside Notion docs screenshots people dropped in Discord Result: I couldn t see patterns, sentiment, or what actually mattered. So I built a small internal tool just to fix my own workflow a drop-in feedback component that sends every piece of feedback to one selected Slack channel, with mood + summary so I don t miss ... ... solved the chaos for us and later for others. Sharing here in case anyone else struggles with feedback is coming in, but it s all over the place happy to answer how teams are using it or what patterns

... Product Hunt I m Kostiantyn, the maker of Migraine Club . I built this because I was tired of migraine apps that feel like dark patterns: paywalls, trackers, or constant upsell instead of actual help. What Migraine Club is today Simple migraine / headache diary that takes seconds to log an episode Clean history view so you can spot patterns

... stop doom scrolling nor make you stay mindful. But it provides you with the information needed to take action. When it is self directed, it works best for you. I considered Groq API integration for on-post usage patterns, but true depth needs chatting. So I kept it simple and put you in control. Since there are no reviews (as of 06-12-25), let me tell you my own I am using it for the past few weeks ... ... time than before. However, my content is more aligned with my goal now. You see, when you paste in Groq chat , it remembers. So, when you use this extension for days, and Groq will tell your direction with usage patterns

... situation, but on why it affected you so much and where you get your feelings about it from. Different people in the same situation can experience completely different emotions and reactions, influenced by their experience, beliefs, and habitual behavior patterns. Understanding this was the goal of the Reflection section. By answering several guiding questions, you have the opportunity to delve deeper into your beliefs, see patterns

... Runs on Mac, Windows, iOS , and via iOS keyboard for system-wide mobile input Cloud inference tuned for ultra-low latency and high consistency Review Signal WisprFlow has the largest and deepest review footprint of the entire category. Several patterns stand out: Review spikes directly correlate to major releases Windows launch reviews from engineers and PMs adopting it at work iOS app + iOS keyboard launch big expansion into mobile workflows Model upgrades + new features consistent mid-cycle bumps tied ... ... Across reviews, the most common phrases are: natural effortless flow no edits finally fast enough writes like I do Users describe WisprFlow in emotional terms more like a tool they think with than a tool they type into . Usage patterns

... Challenge With AI writing tools everywhere, verifying content authenticity is crucial. We needed a tool that could analyze text and identify AI patterns in real-time. 2/ The Architecture We use Server-Sent Events (SSE) to stream results as they're generated. Text is chunked by sentences (max 1000 chars) and analyzed segment-by-segment. 3/ Pattern

... Just shipped New feature in Gitmore reports helps you better understand your team's work patterns. Activity Distribution charts now show: Peak productivity hours Work patterns

... Netflix uses for recommendations). Here's the flow: USER FEEDBACK LOOP Write AI Suggests Accept/Deny/Retry System Learns Model Stats DB Model A: 85% Success rates Model B: 72% Model C: 91% Use this one! Thompson Sampling Algorithm Balances exploration vs exploitation Try new models Use proven models (10% of time) (90% of time) What's Thompson Sampling? Think of it like this: The Casino Analogy: You walk into a casino with 5 slot machines. Some pay out more than others ... ... Studio (100% offline, 100% free) Real-World Example Let's say you're Sarah, a content marketer: Week 1: Sarah writes blog posts and emails SourcePilot tries different models randomly Sarah accepts some, denies others System starts noticing patterns

... ArchtSoft's AI identifies your industry and domain automatically, understanding the context of what you're building without manual configuration. Industry-Driven Architecture Design: Get system architectures designed specifically for your industry. Healthcare systems get HIPAA-compliant patterns, fintech gets PCI-DSS considerations, e-commerce gets high-availability patterns

... Assembly (later renamed AI multi-agent workflows). Chain multiple agents together. Create assembly lines of AI. Launch it in January 2024. That feature changed everything. People started building insanely complex workflows. The feedback was incredible. Mid-2024: Two Patterns Emerged As more people used multi-agent workflows, we started seeing two very different use cases - but with the same core DNA. Pattern

... Uncomfortable pattern I keep seeing: the products with the worst UX debt are usually the ones that found product-market fit fastest. They ignored "best practices," shipped ugly-but-functional features, and got users anyway. Then they scale and everything breaks. That's when they hire me. But I've started wondering - did the rough UX actually HELP early on? Not despite being "bad" but because it prioritized solving the problem over looking good? Meanwhile, products that follow ... ... prompt and nothing really is changing or its changing everything instead of giving me more granular control. Is that what you mean by over-reliance on text prompts? Comment from Tanya Donska(@tanya_donska): @sanskarix  This is the pattern

... agents.md Every artifact (specs, plans, tasks) now exports into the agents.md ecosystem. That means clean, reusable inputs for Cursor, Claude Code, GeminiCLI, GitHub Copilot, and other agentic codegen tools. Codebase Understanding Shotgun reads your repo first: architecture, naming, patterns. Then it gives advice that fits your project. Like pairing with someone who spent a weekend studying your code. Less context-switching, more building. 30-sec to try. More to come. Your code-gen agents will thank us later ... ... markdown files to your repo. So if you skip Research today and go straight to implementation, you can backfill that research later and it's still valuable for the next person. Real use case example: 1: Research existing auth patterns

... projects and contributions in a more engaging way - Better visual presentation of your repositories - Easier navigation through your work 6. Background Customization (Coming Soon!) Personalize your profile with custom background themes - Choose from a variety of beautiful gradients and patterns - Make your profile stand out with custom backgrounds - Multiple patterns